Report Name
|
|
What You Can Learn
|
|
Description
|
Looking Back |
| Customer behavior |
|
How much revenue comes from upper tier customers compared to middle and lower tier customers |
|
Key metrics for each customer segment, table |
| Customer velocity |
|
Whether customer purchasing behavior is improving or deteriorating |
|
Distribution of customers in various velocity segments, chart and table |
| Decile distribution |
|
Extent of opportunity to increase revenue from middle tier customers |
|
Median yearly revenue by Loyalty Score, chart and table |
| Customer activity level |
|
How the number of buyers is changing from period to period |
|
Number of active customers purchasing in last several time periods, chart and table |
| Customer revenue distribution |
|
How revenue from new customers compares with revenue from existing customers |
|
Revenue from new vs. existing customers over time, chart and table |
| Looking Forward |
| Likely buyers |
|
Where to set Loyalty Score or decile thresholds to maximize campaign efficiency |
|
Loyalty Rank vs. Percent purchasing in next quarter, chart and table |
| Purchase probabilities |
|
How to optimize campaigns by seeing which product groups have significant numbers of likely future buyers |
|
Back test results, chart and table |
| Predicted response rates |
|
How much revenue, and what marketing campaign response rates, are expected from various sets of customers in the next period |
|
Estimated revenue and response rates for selected customer target lists |
